Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.358  0.0210  0.149  0.4815  0.529  0.50
Anderszewski 2003   63  0.222  0.192  0.1920  0.3123  0.4516  0.37
Ashkenazy 1981   10  0.4040  0.0017  0.0916  0.3643  0.1529  0.23
Bacha 2000   32  0.3120  0.0148  0.0560  0.0528  0.3052  0.12
Badura 1965   47  0.2619  0.0135  0.0835  0.1628  0.4124  0.26
Barbosa 1983   69  0.2126  0.0058  0.0555  0.0567  0.0565  0.05
Biret 1990   51  0.2532  0.0047  0.0646  0.0634  0.4041  0.15
Blet 2003   19  0.3488  0.0015  0.1013  0.4431  0.4012  0.42
Block 1995   25  0.3364  0.0023  0.0717  0.3437  0.2420  0.29
Blumental 1952   43  0.2855  0.0057  0.0647  0.0650  0.0662  0.06
Boshniakovich 1969   26  0.3314  0.0118  0.0627  0.2650  0.0749  0.13
Brailowsky 1960   75  0.1838  0.0071  0.0469  0.0449  0.0859  0.06
Bunin 1987   45  0.2748  0.0028  0.0629  0.2233  0.3025  0.26
Bunin 1987b   44  0.2747  0.0031  0.0530  0.2133  0.2827  0.24
Chiu 1999   73  0.1989  0.0079  0.0378  0.0375  0.0483  0.03
Cohen 1997   11  0.3910  0.0211  0.1612  0.4519  0.5210  0.48
Cortot 1951   81  0.1680  0.0075  0.0381  0.0345  0.0870  0.05
Csalog 1996   80  0.1772  0.0084  0.0376  0.0368  0.0580  0.04
Czerny 1949   56  0.2457  0.0056  0.0649  0.0630  0.5335  0.18
Czerny 1990   35  0.3136  0.0045  0.0463  0.0438  0.2753  0.10
Duchoud 2007   48  0.2683  0.0041  0.0539  0.1339  0.1940  0.16
Ezaki 2006   7  0.425  0.054  0.231  0.6510  0.671  0.66
Falvay 1989   3  0.443  0.113  0.152  0.643  0.582  0.61
Farrell 1958   85  0.1316  0.0140  0.0443  0.1038  0.1943  0.14
Ferenczy 1958   83  0.1446  0.0070  0.0467  0.0438  0.4447  0.13
Fliere 1977   36  0.3066  0.0053  0.0465  0.0469  0.0471  0.04
Fou 1978   37  0.3067  0.0055  0.0554  0.0568  0.0375  0.04
Francois 1956   18  0.3428  0.0014  0.1011  0.4716  0.655  0.55
Friedman 1923   82  0.1581  0.0086  0.0286  0.0280  0.0390  0.02
Friedman 1923b   84  0.1484  0.0087  0.0377  0.0381  0.0385  0.03
Friedman 1930   41  0.2817  0.0160  0.0556  0.0555  0.0666  0.05
Garcia 2007   57  0.2459  0.0059  0.0552  0.0562  0.0567  0.05
Garcia 2007b   30  0.3229  0.0032  0.0732  0.2027  0.4321  0.29
Gierzod 1998   66  0.2243  0.0033  0.0631  0.2131  0.3622  0.27
Gornostaeva 1994   49  0.2560  0.0063  0.0553  0.0542  0.1856  0.09
Groot 1988   1  0.471  0.301  0.295  0.5817  0.506  0.54
Harasiewicz 1955   15  0.3512  0.0124  0.0721  0.3139  0.1630  0.22
Hatto 1993   5  0.439  0.026  0.146  0.5620  0.527  0.54
Hatto 1997   6  0.4318  0.019  0.204  0.599  0.534  0.56
Horowitz 1949   65  0.2261  0.0080  0.0375  0.0359  0.0577  0.04
Indjic 1988   2  0.464  0.055  0.223  0.6019  0.573  0.58
Kapell 1951   50  0.2585  0.0049  0.0559  0.0546  0.0861  0.06
Kissin 1993   33  0.3133  0.0039  0.0538  0.1339  0.3031  0.20
Kushner 1989   13  0.3870  0.0025  0.0724  0.2938  0.2126  0.25
Luisada 1991   12  0.397  0.038  0.167  0.5523  0.518  0.53
Lushtak 2004   68  0.2162  0.0034  0.0536  0.1528  0.2136  0.18
Malcuzynski 1961   14  0.3824  0.0019  0.0815  0.4026  0.3117  0.35
Magaloff 1978   64  0.2249  0.0078  0.0382  0.0372  0.0484  0.03
Magin 1975   34  0.3145  0.0042  0.0542  0.1036  0.3134  0.18
Michalowski 1933   62  0.2339  0.0073  0.0383  0.0370  0.0579  0.04
Milkina 1970   61  0.2368  0.0046  0.0551  0.0531  0.3446  0.13
Mohovich 1999   46  0.2741  0.0036  0.0934  0.1841  0.1837  0.18
Moravec 1969   24  0.3327  0.0043  0.0441  0.1036  0.1942  0.14
Morozova 2008   29  0.3213  0.0121  0.0723  0.3041  0.1333  0.20
Neighaus 1950   4  0.4411  0.017  0.178  0.5519  0.4111  0.47
Niedzielski 1931   67  0.2173  0.0076  0.0379  0.0363  0.0574  0.04
Ohlsson 1999   53  0.2544  0.0064  0.0561  0.0581  0.0378  0.04
Osinska 1989   71  0.2086  0.0077  0.0285  0.0257  0.0582  0.03
Pachmann 1927   58  0.2387  0.0069  0.0473  0.0454  0.0764  0.05
Paderewski 1930   27  0.3254  0.0027  0.0628  0.2430  0.4118  0.31
Perlemuter 1992   40  0.2815  0.0152  0.0468  0.0444  0.1058  0.06
Pierdomenico 2008   52  0.2535  0.0072  0.0284  0.0277  0.0387  0.02
Poblocka 1999   39  0.2978  0.0051  0.0471  0.0466  0.0572  0.04
Rabcewiczowa 1932   60  0.2331  0.0062  0.0645  0.0635  0.2845  0.13
Rachmaninoff 1923   78  0.1742  0.0061  0.0558  0.0561  0.0473  0.04
Rangell 2001   55  0.2463  0.0054  0.0648  0.0656  0.0569  0.05
Richter 1976   20  0.3423  0.0044  0.0544  0.0946  0.1054  0.09
Rosen 1989   54  0.2576  0.0067  0.0562  0.0561  0.0481  0.04
Rosenthal 1930   77  0.1779  0.0081  0.0466  0.0453  0.0668  0.05
Rosenthal 1931   79  0.1737  0.0066  0.0550  0.0533  0.4244  0.14
Rosenthal 1931b   70  0.2071  0.0065  0.0472  0.0432  0.4251  0.13
Rosenthal 1931c   42  0.2825  0.0038  0.0440  0.1221  0.4928  0.24
Rosenthal 1931d   72  0.1977  0.0068  0.0557  0.0533  0.3650  0.13
Rossi 2007   89  0.0456  0.0089  0.0189  0.0166  0.0486  0.02
Rubinstein 1939   59  0.2365  0.0050  0.0464  0.0445  0.1060  0.06
Rubinstein 1952   22  0.336  0.0412  0.1214  0.4027  0.4014  0.40
Rubinstein 1966   38  0.2958  0.0029  0.0619  0.3242  0.0938  0.17
Schilhawsky 1960   86  0.0674  0.0088  0.0288  0.0278  0.0388  0.02
Shebanova 2002   9  0.4030  0.0020  0.0918  0.3353  0.0839  0.16
Smith 1975   16  0.3534  0.0022  0.0625  0.2913  0.5913  0.41
Sokolov 2002   23  0.3350  0.0037  0.0533  0.1916  0.4519  0.29
Sztompka 1959   8  0.4121  0.0113  0.1010  0.4735  0.3315  0.39
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   31  0.3153  0.0030  0.0637  0.1458  0.0557  0.08
Uninsky 1971   28  0.3269  0.0026  0.0726  0.2842  0.1532  0.20
Wasowski 1980   21  0.3322  0.0116  0.1022  0.3142  0.2223  0.26
Zak 1937   76  0.1775  0.0082  0.0470  0.0457  0.0663  0.05
Zak 1951   74  0.1990  0.0074  0.0374  0.0354  0.0576  0.04
Random 1   87  0.0551  0.0083  0.0380  0.034  0.5448  0.13
Random 2   88  0.0552  0.0085  0.0287  0.0220  0.3855  0.09
Random 3   90  -0.0482  0.0090  0.0190  0.0156  0.0389  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).